make_stats: A super-high level wrapper for building plot ready model...
In hemoshear/assayr2: Tools for analyzing assay data

Description Usage Arguments Examples

Uses 'make_cis()' and 'make_fcs' to assemble a useful data.frame with columns for building 'geom_crossbar' summaries (est, lwr, upr) and simple statistic text summary (label).

1 2	make_stats(mod, level = 0.95, sig_figs = 2, all = FALSE, restore = TRUE, pretty = TRUE)

`mod`	A model object of class 'lm' or 'lmer/lmerTest'.
`level`	A numeric value between 0 and 1 for confidence level. Default is .95.
`sig_figs`	A numeric value specifying the number of decimal places in percent change columns in result.
`all`	Boolean, should all predictor varaibles be returned or just the first predictor (default).
`restore`	Boolean, shold response variables be transformed back to linear space.
`pretty`	Boolean, should p-values < 0.001 be represented by '<=0.001'.

data(mtcars)
mtcars$cyl <- as.factor(mtcars$cyl)
m <- lm(log10(mpg) ~ 0 + cyl, data = mtcars)
make_stats(m)

library(lme4)
data(sleepstudy)
sleepstudy$Days <- as.factor(sleepstudy$Days)
mm <- lmer(Reaction ~ 0 + Days + (1 | Subject), data = sleepstudy)
make_stats(mm)